Work Experience
Data Analyst Alagoas State Treasury department, Brazil May 2021 – Present
Enhanced reports and dashboards with Python, SQL, and Excel to accurately calculate tax liabilities for large corporations receiving tax breaks, boosting tax collection by over U$5 million
Designed a Python and SQL program to update aggregate margins for various products, enhancing tax base computations and resulting in a tax collection increase of over U$7 million (more than 10% per year)
Implemented a statistical methodology applying R and SQL to establish a new tax base for gasoline, diesel oil, kerosene, and ethanol, based on consumer selling prices at gas stations, resulting in at least a 20% increase in tax collection for these products.
Developed a monitoring script applying Python, SQL and Excel to track tax evasion by companies purchasing wheat flour, recovering approximately U$3 million in unpaid taxes to date
Conducted studies and statistical methodologies to reduce tax breaks of the wheat sector, increasing annual tax revenue by up to U$15 million (more than 20% per year)
Led a team in developing an Oracle OBIEE data mart and dashboard to identify discrepancies in companies' tax returns,leading to over U$2 million in tax notifications and collections
Managed the creation of an Oracle OBIEE data mart focused on company tax debts, resulting in a significant reduction of over 100% in the time required for tax debt calculations
Business Intelligence Manager Alagoas State Treasury department, Brazil Dec 2020 – May 2021
Education
B. Sc. Statistics - GPA 8.8/10 Paraíba State University Ago 2012 - Jun 2017
San Diego State University - California State University (U.S.) Took Master's degree courses in Advanced Probability and Design of Experiments. Ago 2014 - May 2015 Ago 2012 - Jun 2017